Artificial intelligence (AI) is one of today’s leading investment priorities, yet research reveals a striking paradox at the heart of current AI ambitions.
According to a recent survey, an overwhelming 74% of organizations plan significant investments in AI initiatives for 2025, but only 46% of executives trust the quality of their organization’s data. This glaring mismatch poses a fundamental investment risk because 98% of enterprises acknowledge poor data quality as a critical barrier holding back AI adoption.
The disconnect is concerning at a time when significant financial commitments rest on the promise of AI’s transformative potential: More than half (52%) of organizations now allocate over 10% of their technology budgets to AI projects. Despite the high stakes, many companies find themselves unguided, lacking comprehensive governance frameworks and necessary cross-functional alignment to ensure trustworthy data.
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